Thematic Criteria Layers > Suitability
This week’s lab will feature exploration of the following:
The following suitability lab is designed to ascertain locations for potential parkland in Berkeley, CA based on MCE evaluation utilizing a Constraints & Opportunities analysis model. The MCE for both is as follows:
Constraints:
Opportunities:
Step #1:
Suitability Data Inputs
Step #2:
Opportunities + Constraints
.prj:Successful Cartographic Model requires consistent .prj
Establish project area (City of Berkeley boundary)
layers for the lab have been clipped to City of Berkeley boundary already for expediency:
Constraints:
Constraints
Opportunities:
Opportunities
Step #3:
run proximity buffers per criteria for both constraints and opportunities
run slope per criteria constraints and opportunities
run aspect per criteria constraints and opportunities
Note: This step has already been enacted for expediency of the lab. The result of the criteria selections are vector features that fit criteria and have been weighted in the attribute table as either 1 for opportunities or -1 for constraints. In other words, each layer is equally weighted in this particular MCE analysis for parkland in Berkeley, CA as either 1 or -1
Step #4:
Typically overlay between two layers in suitability analysis can be conducted via UNION for both constraints and opportunities. The attribute table result will now feature a combination of all constraint or opportunity weights (-1) or (+1) per union polygon record. This will result in one layer for constraints and one layer for opportunities.
Save the UNION feature in an exports folder that you make within the l2_suit original download lab folder. Entitle the UNION Feature as opp_union.shp and con_union.shp respectively.
Step #5:
In the resulting opp_union.shp feature create new field total_opp
under_18_wt + aspect_wt + high_den_wt + over_65_wt + streets_wt + slope_wtUnion Opportunities
Step #6:
In the resulting con_union.shp feature create new field total_cons
Utilizing field calculator, add all constraint weights using the following equation (7 weight inputs):
aspect_wt + liquef_wt + crime_wt + slope_wt + toxic_wt + landsli_wt + park_wtUnion Constraints
Step #7:
Delete Field tool to clean table of all attributes except total_opp and total_cons in their respective layers. Export the newly cleaned features as total_opp_clean and total_con_clean.Step #8:
total_opp_union.shp and total_con_union.shp as the inputs, a final suitablity map will be derived in this final lab step utilizing UNION:Suitability Union
Suitability Map = Composite Constraint Map + Composite Opportunity Map
Export results as suitability.shp
Create new final column suitable in the suitability.shp
Utilize Field Calculator to add total_con + total_opp in the column suitable
Thematically map suitable column:
Score and Thematically Map Result
Step #9:
Step #10:
total_con_clean and total_opp_clean inputs. Utilize the following parameters for each vector > raster run:Rasterize Tool
Example showing Opportunity Input; run twice, second time for Constraint Input
B_Boundarynodata value = Not SetStep #11:
Final Result can be Clipped to City Boundary